METHOD AND SYSTEM FOR INTERNAL ANALYSIS OF LOAN INSTRUMENTS
A system and method for overseeing the loan review process is provided. An embodiment of the system provides complete control over an automated loan review process. All loans and loan applications entered in the system can be automatically entered into the loan review system and reviewed for compliance with predetermined policies and procedures. Each loan can be assigned a queue associated with a reviewing officer. Loans identified with discrepancies or issues during initial review can be escalated to a manager and then returned to the originating loan officer for correction or additional input. At each stage, the individual may enter comments, which can be tracked and transmitted by the system. Discrepancies are rated for risk so that high-risk applications can be easily identified and tracked. Report data and statistics can be utilized to assist in managing risk by quickly identifying trends.
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The present application claims the benefit of co-pending U.S. provisional application Ser. No. 61/583,557, filed Jan. 5, 2012, entitled, “METHOD AND SYSTEM FOR INTERNAL ANALYSIS OF LOAN INSTRUMENTS”, the disclosure of which is incorporated herein by reference in its entirety.
BACKGROUNDFinancial institutions conventionally process loan applications through a multiple stage review process. Often each review stage can be completed at different locations using a combination of paper files and electronic communication.
Currently, loan applications for various financial institutions are audited and processed with a detailed review. Reviewers currently scan through the loan packets and manually complete a review form, making notations of any areas within the loan documentation that has exceptions to the standard lending policies and/or procedures.
If a reviewer finds exceptions, the loan packet is then forwarded to a manager for further review. If the manager agrees with the reviewer's assessment then the loan packet is recorded by the manager and forwarded to the executive manager of the loan officer. The executive manager is then tasked with addressing the exceptions with the loan officer and works to resolve identified exceptions.
Thus the current process is labor-intensive and extremely time-consuming, lacks a robust tracking system to ensure that all loans are being reviewed, has no means of quantifying exceptions, defining trends, or validating that exceptions have been addressed, and fails to provide a means of monitoring, or successfully managing, the underlying risks with regards to loans being underwritten outside of defined guidelines and policies. Accordingly, there is a need in the art for a paper-less means of overseeing the loan review process, ensuring all loans are captured and exceptions are tracked.
The foregoing and other aspects of various embodiments of the present invention will be apparent through examination of the following detailed description thereof in conjunction with the accompanying drawing figures in which similar reference numbers are used to indicate functionally similar elements.
A system and method for overseeing the loan review process is provided. Financial institutions may manage the inherent risk in consumer lending by quickly identifying trends and areas where further training can be justified. An embodiment of the disclosed system may provide complete control over an automated loan review process. All loans and loan applications entered in the system can be automatically entered into the loan review system and reviewed for compliance with the predefined policies and procedures. Each loan can be assigned a queue associated with a loan review officer for review. Loans identified with discrepancies or issues during the initial review can be escalated to a manager and potentially returned to the originating loan officer for correction or additional input. At each stage, the individual reviewer may enter comments. Discrepancies can be rated for risk so that high-risk applications can be easily identified and tracked. Report data and statistics can be utilized to assist in managing the risk in consumer lending by quickly identifying trends and areas where further training can be justified.
A method for reviewing loan applications comprising may include assigning a loan application uploaded to a database at a server to a reviewing entity, receiving at the server review results from the reviewing entity, rating the review results with a risk factor, disposing the loan according to the review results, and sending from the server a notification to a loan entity with the review results upon loan finalization. As used herein, an entity may be understood to include a person, a computer, a processor, etc.
A user may access the loan review system from the client 110 via a user interface capable of accessing and displaying the loan review system. The client can be any device that facilitates a user accessing the server 120 via a user interface for example a personal computer, laptop, tablet device, mobile handheld computing device, or other network accessible device. The user interface can be a program or application or may comprise middleware that acts as a frontend to or otherwise facilitates access to the loan review system. The user may interact with the user interface through an input device, such as by inputting a selection as with a mouse, a keyboard, a handheld controller, or a screen tap. The user may observe the response to the selection on an output device or display. In accordance with an aspect of the invention, the user interface may run in a browser window displayed on the client 110 and controlled by the user, the browser window connected to and receiving instructions from the server 120. In another aspect of the invention, the user interface may run in an application window for an application installed on the client 110 and controlled by the user. When a user accesses the interface, the client 110 may communicate with the server 120. The server 120 may return information to the client 110 to facilitate the user's interaction with the loan review system. The client 110 may display one or more aspects of the loan review system supported by one or more databases 125 accessible by the server 120. Access to each interface or a subset of interface screens can be restricted to certain loan officers, to certain managers, or to other individuals as set by a system administrator.
According to an embodiment, all loans entered into the loan review system can be reviewed or a subset of the entered loans can be assigned for review. For example, all loans of a specific type, from a specific branch, or from a specific loan officer can be assigned for review. According to an embodiment, only a percentage of loans can be assigned for review, and that percentage can be variable. For example, only a percentage of all loans or of loans of a certain type can be assigned for review. The percentage of loans assigned for review can be determined by multiple factors, including, for example, by a specific loan officer or branch.
Loans loaded into the loan review system may then be assigned to a review officer (block 210). The loans assigned to each review officer can be stored in a loan review queue associated with that officer. The assignment of a loan can be based on a number of factors, including for example the number of loans awaiting review in the review officer's queue, the type of the loan, the qualifications of the review officer, or according to other parameters and algorithms.
A loan officer may then review the loans in their assigned queue (block 215). Each loan officer may have access only to his or her queue and may only review the loans assigned to them. According to an embodiment, each loan can be reviewed for a number of different conditions, which can be presented as a checklist of conditions. The loan review officer may review each item in the checklist and make comments or notes as appropriate. The conditions in the checklist may vary, for example, depending on the loan type, the loan officer, or the branch. The conditions on the checklist may include essential or required items, general items, collateral or unsecured items, or other types of conditions depending on the loan type or another loan parameter. A checklist can be automatically generated for each loan application. If an essential or required item is missing, or another issue of importance is identified during the review, the loan can be marked as having an exception. According to an embodiment, the conditions or exceptions can be assigned a point value based on the importance or significance of the condition. Then if the loan has a total point value over a predetermined threshold, the loan can be identified as having an exception or requiring additional review. A subset of loans having a point value below the predetermined threshold may additionally be identified for additional review, for example, to meet a predetermined requirement for the number of loans reviewed, or to spot check the review process.
If no exceptions are found during the review process (block 220), the loan can be finalized and moved to a no exceptions queue (block 235). However if a reviewed loan is determined to have an exception (block 220), the loan can be passed to a review manager for additional review (block 225). Each review manager may have access only to his or her queue and may only review the loans assigned to them or assigned to loan officers they manage. During the additional review, a review manager may send comments or questions to the original loan review officer. For example an email or other message can be transmitted to the original loan review officer with comments and a link to the loan in the loan review system. Comments and notes on the loan review can be saved for future reference. According to an embodiment, the loan review manager may set or change a point value identifying the risk of the loan.
If the review manager clears the previously identified exceptions or otherwise determines that the loan should be successfully passed through the review process (block 230), the loan can be finalized and moved to a no exceptions queue (block 235). However, if the review manager verifies one or more exceptions (block 230), the loan can be returned to the loan officer for additional processing (block 240). A loan officer may then receive a message notification including a link to the loan in the review system indicating that the loan requires additional processing.
The loan officer may then review any loans that were returned from a review manager. The loan officer may correct or acknowledge the exception and provide comments or additional information. The loan officer should address each exception raised by the review manager, for example by providing supplemental information or providing an explanation. The updated loan may then be returned to the review manager for additional review and finalized (block 225-235).
Upon finalization of a loan, the loan officer and the loan officer's manager may receive an email notification or other message indicating the successful processing of the loan. Additionally, the loan review statistics can be updated, including, for example, the statistics provided by loan group, loan officer, branch, reviewing officer, etc.
Certain aspects of the loan review system can be set or controlled by a system administrator. For example, the loan assignment parameters, thresholds, and checklist conditions can be set or adjusted by a loan review system administrator. An administrator may also reset a loan review to clear the notes and processing associated with the review of the loan. An administrator may additionally manage user access and access permissions for the various interfaces in the loan review system, setting different permissions for different aspects of the review system. The administrator may add or edit loan groups, loan types, loan conditions, branches, and personnel within the loan review system.
Various reports can be run that describe the status of loans reviewed via the system. For example, reports may show the number of loans and/or a list of loans with no exceptions, finalized loan reviews with exceptions, loans awaiting review or response, loan reviews overruled by a review manager, etc. Reports can be periodically transmitted to system management or other relevant system users. Alternate information collected by the loan review system may additionally be pulled or exported for customized reports. The reports and statistics can be sortable by a number of different fields including for example date, branch, loan officer, review officer, account number, etc. thereby facilitating identification of trends in the officers, braches, or accounts that tend to have high risk loans.
A new loans queue 310 may hold loans added to the loan review system and awaiting assignment to a loan review officer.
A loan review officer's queue 315 may hold loans assigned to the loan review officer and awaiting review. Each individual loan review officer may have an assigned queue accessible by the loan review officer via a user interface at a client device. An individual review officer's queue can be closed, either temporarily or permanently, such that no new loans can be assigned to the review officer. If temporarily closed, a system administrator may re-open the review officer's queue. If a loan officer's queue has outstanding loans awaiting review, the loan officer and/or the loan officer's manager may periodically receive an email notification identifying the outstanding or un-reviewed loans.
A loan review manager's queue 320 may hold loans identified as having exceptions and requiring additional review. Each individual loan review manager may have an assigned queue accessible by the loan review manager via a user interface at a client device.
A finalized with no exceptions queue 325 may hold loans reviewed and approved without exceptions.
A finalized with exceptions queue 330 may hold loans reviewed and finalized with exceptions. The loans in this queue may have had exceptions that were cleared or may have exceptions that were not deemed significant or high risk.
A loan officer's queue 335 may include loans identified as having exceptions and requiring additional response. Each individual loan officer may have access to a queue as needed, via a user interface at a client device.
Loan officer statistics 610 may include a database id 611, an associated branch identifier 612, loans originating with the loan officer that have passed review without exceptions in various time periods 613(a)-(c), loans that have been fixed or adjusted during review in various time periods 614(a)-(c), loans that the loan officer has acknowledged and explained exceptions in various time periods 615(a)-(c), and outstanding loans requiring additional review in various time periods 616(a)-(c).
Branch statistics 620 may include a database id 621, loans originating from that branch that have passed review without exceptions in various time periods 622(a)-(c), loans that have been fixed during review in various time periods 623(a)-(c), loans that the loan officer has acknowledged and explained exceptions in various time periods 624(a)-(c), and outstanding loans requiring additional review in various time periods 625(a)-(c).
Additional statistics and information can be collected by the loan review system. For example, statistics may additionally be collected for each loan group and reviewing officer, including information identifying the loans that have been reviewed in the system in various time periods.
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A loan record 810 may include information about the individual loan including, for example, the client id 812, the loan amount 813, and the originating branch id 814.
A branch record 820 may include a branch identifier 821, the personnel working at or with the branch including a branch and district manager 822, 824, and contact information for the identified personnel 823, 825.
A loan officer record 830 may include a loan officer id 831, contact information 832, and the status 833 of the loan officer.
A review record 840 for each loan reviewed may include information about the review including the reviewing officer 841, the reviewing manager 843, and any comments input during the course of the review 842, 844, 845.
A review officer record 850 may include an identification of the review officer 851, the status of the review officer 853, and contact information 852.
A review manager record 860 may include an identification of the review manager 861, the status of the review officer 863, and contact information 862.
A score card record 870 may include information about the risk assigned to a loan based on the review 871 and the identified exceptions 872.
An exception record 880 may identify items that need follow up or that were followed up on by a loan officer, a reviewing officer, or a review manager.
A record of the email notifications 890 may track the email notifications or other messages sent by the system, including for example a notification that loans are awaiting user review.
The foregoing discussion identifies functional blocks that can be used in internal loan analysis systems constructed according to various embodiments of the present invention. In practice, these systems can be applied in a variety of devices, such as personal computing systems and/or mobile devices. In some applications, the functional blocks described hereinabove can be provided as elements of an integrated software system, in which the blocks can be provided as separate elements of a computer program. Other applications of the present invention can be embodied as a hybrid system of dedicated hardware and software components. Other implementations also can be used.
Moreover, not all of the units, blocks, or modules described herein need be provided or need be provided as separate units. In one or more embodiments, some or all of the described units can be integrated, can be implemented in separate systems, or may not be implemented at all. Such implementation details are immaterial to the operation of the present invention unless otherwise noted above. Additionally, although
Some embodiments can be implemented, using a non-transitory computer-readable storage medium or article which may store an instruction or a set of instructions that, if executed by a processor, may cause the processor to perform a method in accordance with the disclosed embodiments. The exemplary methods and computer program instructions can be embodied on a non-transitory machine-readable storage medium. In addition, a server or database server may include machine-readable media configured to store machine executable program instructions. The features of the embodiments of the present invention can be implemented in hardware, software, firmware, or a combination thereof and utilized in systems, subsystems, components or subcomponents thereof. The machine-readable storage media may include any medium that can store information. Examples of a machine-readable storage medium include electronic circuits, semiconductor memory device, ROM, flash memory, erasable ROM (EROM), floppy diskette, CD-ROM, optical disk, hard disk, fiber optic medium, or any electromagnetic or optical storage device.
While the invention has been described in detail above with reference to some embodiments, variations within the scope and spirit of the invention will be apparent to those of ordinary skill in the art. Thus, the invention should be considered as limited only by the scope of the appended claims.
Claims
1. A method for reviewing loan applications comprising:
- assigning a loan application uploaded to a database at at least one server to a reviewing entity;
- receiving at the at least one server review results from the reviewing entity;
- rating the review results with a risk factor;
- disposing the loan according to the review results; and
- sending from the at least one server a notification to a loan entity with the review results.
2. The method of claim 1, wherein said notification is transmitted upon finalization of the loan application.
3. The method of claim 1, wherein the reviewing entity has access to the database, such access limited to a plurality of loan applications assigned to him.
4. The method of claim 1, further comprising: if the review results have a risk factor greater than a predetermined threshold, said disposing further comprises assigning said loan application to a review manager and receiving at the at least one server second review results from the review manager.
5. The method of claim 2, further comprising: receiving at the at least one server additional input responsive to the second review results.
6. The method of claim 5, wherein said additional input is received from the reviewing entity.
7. The method of claim 5, wherein said additional input is received from an originating loan entity.
8. The method of claim 1, wherein said assigning is based on the number of loan applications assigned to a reviewing entity.
9. The method of claim 1, wherein said assigning is based on the type of loan application being assigned.
10. The method of claim 1, wherein said review results includes a completed checklist of review requirements.
11. The method of claim 10, wherein said risk factor is assigned based on each requirement in the checklist.
12. The method of claim 1, further comprising tracking statistics about the review of loan applications stored in the database.
13. A non-transitory computer readable medium storing program instructions that, when executed by a processing device, cause the device to:
- assign a loan application to a reviewing entity;
- upon receipt of review results from the reviewing entity, rate the review results with a risk factor, dispose the loan according to the review results and send a notification to a loan entity with the review results upon loan finalization.
14. The non-transitory computer readable medium of claim 13, wherein said processing device is further configured to assign said loan application to a review manager if the review results have a risk factor greater than a predetermined threshold and receive second review results from the review manager.
15. The non-transitory computer readable medium of claim 13, wherein said processing device is further configured to receive a completed checklist of review requirements.
16. The non-transitory computer readable medium of claim 15, wherein said risk factor is assigned based on the importance of each condition in the checklist.
17. The non-transitory computer readable medium of claim 13, wherein said processing device is further configured to track statistics about the review of loan applications stored in the database.
18. A system for reviewing loan applications comprising:
- a memory for storing loan requirement information; and
- a processor configured to: assign a loan to a reviewing entity, receive review results from the reviewing entity, rate the review results with a risk factor, dispose of the loan according to the review results, and send a notification to a loan entity with the review results upon loan finalization.
19. The system of claim 18, wherein said processor is further configured to assign said loan application to a review manager if the review results have a risk factor greater than a predetermined threshold and receive second review results from the review manager.
20. The system of claim 18, wherein said processor is further configured to receive a completed checklist of review requirements.
21. The system of claim 20, wherein said risk factor is assigned based on the importance of each condition in the checklist.
22. The system of claim 18, wherein said processor is further configured to track statistics about the review of loan applications stored in the database.
Type: Application
Filed: Jan 7, 2013
Publication Date: Jul 11, 2013
Applicant: DENALI ALASKAN FEDERAL CREDIT UNION (Anchorage, AK)
Inventor: Keith BENNETT (Anchorage, AK)
Application Number: 13/736,013
International Classification: G06Q 40/02 (20120101);